VU Computer Vision
Timetable
The lecture will be held in presence in WS2022/2023. Enclosed you will find a schedule for orientation of the lecture part.
The start is scheduled for 03.10.2022. The following is a list of the contents of the lecture part and the dates of the units of the exercise part:
Monday: 15:00 – 19:00
Tuesday: 17:00 – 19:00
Location: FAV Hörsaal 1 – INF
Lecture Part
- 03.10.2022, 15:00 c.t.
- E1 Discussion of the general exercise procedure 15:00 ct .
- Exercise Introduction, Modalities for the exercise part
- Q&A session
- E1 Discussion of the general exercise procedure 15:00 ct .
- 10.10.2022, 15:00 c.t.
- L1. Introduction: What is Computer Vision?
- General Introduction
- History of Computer Vision
- Why is Vision Hard?
- L2. Structure of Images 1: Image Formation, 16:45 s.t.
- Image Geometry and Formation
- Types of Projections
- L1. Introduction: What is Computer Vision?
- 11.10.2022, 17:00 c.t.
- L3. Structure of Images 2: Texture, Scenes, and Context 1
- Properties of Light
- Light Transport – BRDF
- Structure in Images: Visual Features, Filtering, Transformations
- L3. Structure of Images 2: Texture, Scenes, and Context 1
- 24.10.2022, 15:00 c.t.:
- L4. Structure of Images 3: Texture, Scenes, and Context 2
- Linear Image Transform
- Edges
- Local Image Analysis
- L5. Local & Multiscale Representations, 16:45 c.t.
- Wavelets
- Local Image Representations
- Multiscale Image Represenations
- Haar Transform
- L4. Structure of Images 3: Texture, Scenes, and Context 2
- 25.10.2022, 17:00 c.t.:
- L6. Image Analysis
- Interest Points, Corners
- Image Analysis
- Scene Emergent Features
- L6. Image Analysis
- 7.11.2022, 15:00 c.t.:
- L7. Scenes 1
- Scene Recognition
- Bag of Words
- SIFT
- L8. Scenes 2, 16:45 c.t.
- Clustering
- Pyramid Matching
- Support Vector Machine
- L7. Scenes 1
- 8.11.2022, 17:00 c.t.:
- L9. Machine Learning for CV
- Classification
- Types of Learning
- Regression
- Clustering
- Association
- Dimension Reduction
- ANNs
- L9. Machine Learning for CV
- 14.11.2022, 15:00 c.t.:
- L10. Deep Learning for CV
- Deep Learning
- CNNs
- Image Net
- L11. Depth Perception, 16:45 c.t.
- Monocular Cues to Depth
- Absolute Monocular Cues to Depth
- 3D Object Categorization
- Pose Invariance
- L10. Deep Learning for CV
- 22.11.2022, 17:00 c.t.:
- L12. Single View Reconstruction
- Camera Geometry and Calibration
- Three-dimensional reconstruction from single and multiple images
- Single View Metrology
- L12. Single View Reconstruction
- 28.11.2022, 15:00 c.t.:
- L13. Absolute 3D Reconstruction
- Absolute Monocular 3D Reconstruction
- Absolute Binocular 3D Reconstruction
- Stereo Geometry
- Essential Matrix
- L14. Multiview Geometry
- Correspondence Analysis
- Multiview Geometry & RANSAC
- Shape from Motion
- L13. Absolute 3D Reconstruction
Exercise part
- Submission Deadline Assignment 0: 14.10.2022
- Group Finding until 21.10.2022
- Submission Deadline Assignment 1: 18.11.2022
- Oral Interviews Assignment 1: 24. / 25.11.2022
- Submission Deadline Assignment 2: 20.01.2023
- Oral Interviews Assignment 2: 26. / 27.01.2023
Tutoring hours will be announced via TUWEL.